DataFood Engine.Monexa Data Node
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High Efficiency

Tortellini.

Metabolic profile analysis. Technical breakdown of Tortellini and its impact on skeletal muscle retention and daily energy expenditure.

Total Energy20kcal
Bio-Protein17g
Carbohydrates34g
Total Lipids13g

Nutritional Efficiency Report

Tortellini is a very low-calorie food with moderate-protein content. At 20 kcal per 100g, it delivers 17g of protein — representing 340% of its total caloric load. Carbohydrates account for 680% and fats for 585% of calories.

"Efficiency Score 1.00 — this asset ranks in the top tier of the DataFood database for protein delivery per calorie. Optimal for fat loss, lean bulking, and body recomposition phases."

At 34g carbs per 100g, it is better suited to carb-cycling or maintenance phases.

With only 20 kcal per 100g, Tortellini is a high-volume food — you can consume a large serving while keeping total caloric intake controlled. This makes it particularly effective for hunger management in deficit phases.

Protocol Compatibility

Ketosis Impact

At 34g carbs per 100g, it is better suited to carb-cycling or maintenance phases.

Thermic Effect (TEF)

With 17g protein per 100g, the thermic contribution is moderate. Pairing with higher-protein sources increases the overall TEF of your meal and supports lean mass retention.

Expand Your Protocol.

Based on the metabolic profile of Tortellini, these related data nodes are most relevant to your nutrition architecture:

Fat Loss Foods Database Balanced Nutrition Guide

Integrate Asset.

Use the clinical weekly planner to distribute Tortellini across your metabolic windows.

Generate Weekly Protocol

Input physical metrics to generate a synchronized 7-day protocol.

1. Biological Metrics

2. Dietary Logic

Institutional Disclaimer: The nutritional data provided for Tortellini is derived from clinical databases and algorithmic estimation. This report is for metabolic infrastructure planning only and does not constitute medical advice. Consult a clinical nutritionist before implementing aggressive deficit protocols.